Huang Hao, Long Zhiping, Deng Ying, Huang Zhicong, Lv Zhonghua, Sun Qian, Liu Hui, Liang Hongsheng, Hu Fulan
Department of Preventive Medicine, Zhuhai Campus of Zunyi Medical University, Zhuhai, Guangdong, People's Republic of China.
Department of Epidemiology, Public Health School of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
J Inflamm Res. 2024 Sep 11;17:6329-6344. doi: 10.2147/JIR.S473932. eCollection 2024.
Mitochondrial metabolism is essential for energy production and the survival of brain cells, particularly in astrocytes. Cuproptosis is a newly identified form of programmed cell death that occurs due to the disruption of mitochondrial metabolism caused by excessive copper toxicity. However, the relationship between cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) and the prognosis of gliomas remains unclear.
In this study, we utilized 32,293 cells obtained from three in-house single-cell RNA sequencing (scRNA-seq) datasets, along with 6,148 cells acquired from the Chinese Glioma Genome Atlas (CGGA) involving 14 glioma patients, to identify and validate the TME of gliomas.
Based on an analysis of 32,293 single cells, we investigated intra-tumor heterogeneity, intercellular communication, and astrocyte differentiation trajectories in gliomas. Our findings revealed that the TGFβ signaling pathway exhibited a higher relative strength in astrocyte subpopulations. Additionally, we identified a novel three-gene signature (, and ) was identified for prognostic prediction. Furthermore, glioma patients with a high-risk score demonstrated poorer overall survival (OS) compared to those with a low-risk score in both training and testing datasets ( < 0.001; = 0.037).
Our study revealed the prognostic value of the CRGs in astrocytes exhibiting tumor immunosuppressive characteristics in glioma. We established a novel three-gene prognostic model that offers new insights into the prognosis and treatment strategies for gliomas.
线粒体代谢对于能量产生及脑细胞(尤其是星形胶质细胞)的存活至关重要。铜死亡是一种新发现的程序性细胞死亡形式,它是由于过量铜毒性导致线粒体代谢紊乱而发生的。然而,肿瘤微环境(TME)中与铜死亡相关的基因(CRGs)与胶质瘤预后之间的关系仍不清楚。
在本研究中,我们利用从三个内部单细胞RNA测序(scRNA-seq)数据集中获得的32293个细胞,以及从涉及14例胶质瘤患者的中国胶质瘤基因组图谱(CGGA)中获取的6148个细胞,来识别和验证胶质瘤的肿瘤微环境。
基于对32293个单细胞进行的分析,我们研究了胶质瘤中的肿瘤内异质性、细胞间通讯及星形胶质细胞分化轨迹。我们的研究结果显示,TGFβ信号通路在星形胶质细胞亚群中表现出较高的相对强度。此外,我们鉴定出一种用于预后预测的新型三基因特征(、和)。此外,在训练和测试数据集中,高风险评分的胶质瘤患者与低风险评分的患者相比,总生存期(OS)更差(<0.001;=0.037)。
我们的研究揭示了CRGs在胶质瘤中具有肿瘤免疫抑制特征的星形胶质细胞中的预后价值。我们建立了一种新型三基因预后模型,可以为胶质瘤的预后和治疗策略提供新的见解。